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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Regret Minimization in Games with Incomplete Information
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Efficient Principled Learning of Thin Junction Trees
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discriminative Keyword Selection Using Support Vector Machines
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Multi-Stage Monte Carlo Approximation for Fast Generalized Data Summations
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Receding Horizon Differential Dynamic Programming
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Sparse Feature Learning for Deep Belief Networks
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Modeling image patches with a directed hierarchy of Markov random fields
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Fast Variational Inference for Large-scale Internet Diagnosis
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Active Preference Learning with Discrete Choice Data
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Linear programming analysis of loopy belief propagation for weighted matching
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Unified Model for Content Based Image Suggestion and Feature Selection
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Configuration Estimates Improve Pedestrian Finding
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Automatic Generation of Social Tags for Music Recommendation
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A learning framework for nearest neighbor search
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Modeling homophily and stochastic equivalence in symmetric relational data
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Multiple-Instance Pruning For Learning Efficient Cascade Detectors
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Efficient multiple hyperparameter learning for log-linear models
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Optimal ROC Curve for a Combination of Classifiers
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Rapid Inference on a novel AND/OR graph: Detection, Segmentation and Parsing of Articulated Deformable Objects in Cluttered Backgrounds
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
People Tracking with the Laplacian Eigenmaps Latent Variable Model
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Learning the structure of manifolds using random projections
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Random Sampling of States in Dynamic Programming
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Sta
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Support Vector Machine Classification with Indefinite Kernels
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
On Ranking in Survival Analysis: Bounds on the Concordance Index
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Bayesian Policy Learning with Trans-Dimensional MCMC
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Statistical Analysis of Semi-Supervised Regression
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Resampling Methods for Protein Structure Prediction with Rosetta
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Learning Monotonic Transformations for Classification
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discriminative Log-Linear Grammars with Latent Variables
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